Mapping the spatial distribution of chloride deposition across Australia

• Published in: Journal of hydrology (Amsterdam) Vol. 561; pp. 76 - 88
• Main Authors: Davies, P.J., Crosbie, R.S.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2018
• Subjects: Atmospheric chemistry; Groundwater recharge; Rainfall; Spatial variability; Uncertainty analysis; Rainfall; Spatial variability; Groundwater recharge; Atmospheric chemistry; Uncertainty analysis
• DOI: 10.1016/j.jhydrol.2018.03.051
• ISSN: 0022-1694

•Continental scale map of chloride deposition derived from field observations.•Uncertainty has been quantified using 1000 equally well calibrated replicates.•Spatial variability of chloride deposition reproduced accurately.•A long term continental monitoring program is needed to reduce uncertainty.•Data available for download for future studies using chloride deposition. The high solubility and conservative behaviour of chloride make it ideal for use as an environmental tracer of water and salt movement through the hydrologic cycle. For such use the spatial distribution of chloride deposition in rainfall at a suitable scale must be known. A number of authors have used point data acquired from field studies of chloride deposition around Australia to construct relationships to characterise chloride deposition as a function of distance from the coast; these relationships have allowed chloride deposition to be interpolated in different regions around Australia. In this paper we took this a step further and developed a chloride deposition map for all of Australia which includes a quantification of uncertainty. A previously developed four parameter model of chloride deposition as a function of distance from the coast for Australia was used as the basis for producing a continental scale chloride deposition map. Each of the four model parameters were made spatially variable by creating parameter surfaces that were interpolated using a pilot point regularisation approach within a parameter estimation software. The observations of chloride deposition were drawn from a literature review that identified 291 point measurements of chloride deposition over a period of 80 years spread unevenly across all Australian States and Territories. A best estimate chloride deposition map was developed from the resulting surfaces on a 0.05 degree grid. The uncertainty in the chloride deposition map was quantified as the 5th and 95th percentile of 1000 calibrated models produced via Null Space Monte Carlo analysis and the spatial variability of chloride deposition across the continent was consistent with landscape morphology. The temporal variability in chloride deposition on a decadal scale was investigated in the Murray-Darling Basin, this highlighted the need for long-term monitoring of chloride deposition if the uncertainty of the continental scale map is to be reduced. Use of the derived chloride deposition map was demonstrated for a probabilistic estimation of groundwater recharge for the southeast of South Australia using the chloride mass balance method.